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Principal Engineer

4 months ago

Santa Clara, United States LG Full time

LG's Mission is to be #1 by creating a better life for our customers. At LG we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good” As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator to join our team as a Principal Engineer, Edge Centric AI, located in Santa Clara, California. This is a hybrid position. Our Emerging Technology team is looking for a hands-on Principal Engineer, Edge AI, to be the project lead and subject matter expert for the product of development of hardware-software co-design for machine learning (ML), artificial intelligence (AI) accelerators and energy-efficient edge computing devices. What You’ll Do: • Oversee all on-device AI efforts and collaborate with HQ and LGE’s Toronto AI Lab for product level technical implementation on our products.• Grow and maintain relationships with internal and external stakeholders (AI teams, System IC teams, edge SW teams) to develop an innovative Edge-centric AI applications and platform• Lead end-to-end on-device AI efforts from co-developing on-device AI application concepts to hardware-software co-design and architecture for machine learning (ML) and artificial intelligence (AI) accelerators and energy-efficient edge computing devices for next-generation home appliances and automotive• Initiate and oversee the development, implementation, administration, monitoring and improvement of security, policies, programs, and protocols• Work with leading academic or 3rd party company researchers to expedite edge-centric AI platform development• Execute full software development life cycle (SDLC)• Technically supervise various levels of team members by setting the tone for the team environment and providing individualized coaching, training and mentoring Minimum Qualifications: • M.Sc. degree program in Computer Science or Electrical Engineering with a specialization in Mathematics or Statistics with 12 + years’ experience or PhD degree in CS or EE with a specialization in, AI/ML, etc. with 8 + years of experience Skills We’d Like You To Have: • Hands on experience delivering AI products in a technical leadership capacity• Experience with on-device IoT edge intelligence (tinyML and embedded AI)• Expert-level knowledge of on-device AI model optimization and accelerators• Deep understanding of System Architecture for energy-efficient edge AI• Experience of hybrid architecture design to maximize edge processing and cloud computation• Technical leadership experience for both local and remote engineers• Understanding of how to define and deliver GenAI products.• Collaboration experience with internal and external technical partners.• Excellent communication skills including effective presentation to Executives• Experience working in agile environments with cross-functional delivery teams• Detailed knowledge of system design and software development methodology and its application to overall system design What We Can Offer You: • Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach At LG, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunities to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Consistent with our commitment to providing equal opportunity and embracing diversity, LG has implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies, where applicable, the salary range listed may not reflect all geographic differentials applied.

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